
FinOpsly helps enterprises turn cloud, data, and AI spending into measurable business outcomes by planning, preventing waste, and proving savings. The platform uses agentic, explainable AI and…

FinOpsly helps enterprises turn cloud, data, and AI spending into measurable business outcomes by planning, preventing waste, and proving savings. The platform uses agentic, explainable AI and…
What they do: AI-native FinOps platform that ties cloud, data, and AI spend to business value and automates cost governance
Product highlights: AI copilot (Ask FI), Spendsight cost intelligence, TrueCost Optimizer, Radar anomaly detection, Budgets & Forecasting, TotalView TCO
Integrations: AWS, Azure, GCP, Snowflake, Databricks; ticketing systems like Jira and ServiceNow
Founded: 2024
Investors: Hyde Park Venture Partners; Catalystrix Ventures; others including regional investors and angel groups
Cloud cost management / FinOps for enterprises managing multi-cloud stacks and AI/data workloads.
2024
Data and Analytics
Pre-Seed round listed on public profiles
4450000
Company announced a $4.45M raise
“Backed by regional VCs and angel groups including Hyde Park Venture Partners, Catalystrix Ventures, Cintrifuse, Cultivation Capital and 71-70 Angels”
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Company Description
FinOpsly is an AI-native Value-Control™ platform for cloud (AWS, AZ, GCP), data (Snowflake, Databricks), and AI economics, built to help enterprises move beyond passive cost visibility to active, outcome-driven control. The platform unifies technology spend across cloud infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks), and AI workloads into a single system of action—combining planning, optimization, automation, and financial operations.
Role Description
We are seeking a highly motivated FinOps Data Analyst / Data Scientist to join our growing data organization. This role is ideal for early-career professionals who are passionate about data, analytics, and building scalable solutions that drive business impact.
You will work closely with engineering, FinOps SMEs, product managers, and business stakeholders to analyze cloud, financial, and operational data. The role combines analytical rigor, technical capability, and curiosity to translate complex datasets into actionable insights.
If you are analytically strong and want hands-on exposure to real-world AWS, Azure, GCP and Snowflake datasets, this role offers accelerated growth in cloud economics and cost optimization.
What you will do:
What you bring:
What You'll Gain:
If you are excited about applying data science to real financial outcomes in cloud and AI environments, we would like to connect.
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